Search Results for author: Yi Hu

Found 33 papers, 12 papers with code

Case-Based or Rule-Based: How Do Transformers Do the Math?

1 code implementation27 Feb 2024 Yi Hu, Xiaojuan Tang, Haotong Yang, Muhan Zhang

Through carefully designed intervention experiments on five math tasks, we confirm that transformers are performing case-based reasoning, no matter whether scratchpad is used, which aligns with the previous observations that transformers use subgraph matching/shortcut learning to reason.

Math Systematic Generalization

InstructEdit: Instruction-based Knowledge Editing for Large Language Models

1 code implementation25 Feb 2024 Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Ningyu Zhang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen

Knowledge editing for large language models can offer an efficient solution to alter a model's behavior without negatively impacting the overall performance.

knowledge editing

Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement

no code implementations14 Dec 2023 Yu Ji, Wen Wu, Yi Hu, Hong Zheng, Liang He

Few-shot prompting elicits the remarkable abilities of large language models by equipping them with a few demonstration examples in the input.

Few-Shot Learning

BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles

no code implementations26 Oct 2023 Yi Hu, Kai Ye, Hyeonjin Kim, Ning Lu

To adopt a standard Transformer model structure for profile inpainting, we segment the load and temperature profiles into line segments, treating each segment as a word and the entire profile as a sentence.

Sentence Super-Resolution +1

Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning

no code implementations19 Aug 2023 Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong

Internet of Things (IoT) technologies have enabled numerous data-driven mobile applications and have the potential to significantly improve environmental monitoring and hazard warnings through the deployment of a network of IoT sensors.

Intelligent Communication Multi-agent Reinforcement Learning +1

DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data

no code implementations7 Aug 2023 Yancheng Liang, Jiajie Zhang, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jinyao Zhang, Yongyan Liu, Yi Wu

Despite the tremendous advances achieved over the past years by deep learning techniques, the latest risk prediction models for industrial applications still rely on highly handtuned stage-wised statistical learning tools, such as gradient boosting and random forest methods.

Is ChatGPT a Good Personality Recognizer? A Preliminary Study

no code implementations8 Jul 2023 Yu Ji, Wen Wu, Hong Zheng, Yi Hu, Xi Chen, Liang He

Concretely, we employ a variety of prompting strategies to explore ChatGPT's ability in recognizing personality from given text, especially the level-oriented prompting strategy we designed for guiding ChatGPT in analyzing given text at a specified level.

Fairness Logical Reasoning +3

Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models

1 code implementation5 Jun 2023 Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen

Results from the experiments demonstrate that there is a significant performance gap between the in-distribution (ID) and OOD settings for document images, and that fine-grained analysis of distribution shifts can reveal the brittle nature of existing pre-trained VDU models and OOD generalization algorithms.

document understanding Question Answering

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models

no code implementations29 May 2023 Yi Hu, Haotong Yang, Zhouchen Lin, Muhan Zhang

We also consider the ensemble of code prompting and CoT prompting to combine the strengths of both.

Arithmetic Reasoning

GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing

no code implementations23 May 2023 Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong

Careful placement of a computational application within a target device cluster is critical for achieving low application completion time.

Edge-computing

Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation

1 code implementation15 May 2023 Xin Xiao, Daiguo Zhou, Jiagao Hu, Yi Hu, Yongchao Xu

Yet, most existing hard pixel mining strategies for semantic segmentation often rely on pixel's loss value, which tends to decrease during training.

object-detection Object Detection +2

ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction

1 code implementation ICCV 2023 Jiabang He, Lei Wang, Yi Hu, Ning Liu, Hui Liu, Xing Xu, Heng Tao Shen

To this end, we propose a simple but effective in-context learning framework called ICL-D3IE, which enables LLMs to perform DIE with different types of demonstration examples.

Document AI In-Context Learning

A Modified Sequence-to-point HVAC Load Disaggregation Algorithm

no code implementations9 Dec 2022 Kai Ye, Hyeonjin Kim, Yi Hu, Ning Lu, Di wu, PJ Rehm

This paper presents a modified sequence-to-point (S2P) algorithm for disaggregating the heat, ventilation, and air conditioning (HVAC) load from the total building electricity consumption.

MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations

no code implementations3 Oct 2022 Yi Hu, Yiyan Li, Lidong Song, Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu

This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously.

Data Augmentation Generative Adversarial Network

CSSAM:Code Search via Attention Matching of Code Semantics and Structures

no code implementations8 Aug 2022 Yi Hu, Bo Cai, Yaoxiang Yu

By leveraging the residual interaction, a matching module is designed to preserve more code semantics and descriptive features, that enhances the adhesion between the code and its corresponding query text.

Code Search Descriptive

Discriminator-Free Generative Adversarial Attack

1 code implementation20 Jul 2021 ShaoHao Lu, Yuqiao Xian, Ke Yan, Yi Hu, Xing Sun, Xiaowei Guo, Feiyue Huang, Wei-Shi Zheng

The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1), making the DNNs-based systems collapsed byadding the inconspicuous perturbations to the images.

Adversarial Attack Disentanglement

Network Clustering for Multi-task Learning

no code implementations22 Jan 2021 Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang

The majority of current MTL studies adopt the hard parameter sharing structure, where hard layers tend to learn general representations over all tasks and specific layers are prone to learn specific representations for each task.

Clustering Document Classification +1

Resolving the two-dimensional ANNNI model using transfer matrices

no code implementations17 Dec 2020 Yi Hu, Patrick Charbonneau

The phase diagram of the two-dimensional ANNNI model has long been theoretically debated.

Statistical Mechanics Soft Condensed Matter

Cloud Cover and Aurora Contamination at Dome A in 2017 from KLCAM

no code implementations7 Oct 2020 Xu Yang, Zhaohui Shang, Keliang Hu, Yi Hu, Bin Ma, Yongjiang Wang, Zihuang Cao, Michael C. B. Ashley, Wei Wang

Dome A in Antarctica has many characteristics that make it an excellent site for astronomical observations, from the optical to the terahertz.

Instrumentation and Methods for Astrophysics

Comment on "Kosterlitz-Thouless-type caging-uncaging transition in a quasi-one-dimensional hard disk system" [Phys. Rev. Research 2, 033351 (2020)]

no code implementations23 Sep 2020 Yi Hu, Patrick Charbonneau

Research 2, 033351 (2020)] report a power-law decay of positional order in numerical simulations of hard disks confined within hard parallel walls, which they interpret as a Kosterlitz-Thouless-type caging-uncaging transition.

Soft Condensed Matter Statistical Mechanics

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach

no code implementations22 Jul 2020 Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao

Knowledge graph embedding, which aims to learn the low-dimensional representations of entities and relationships, has attracted considerable research efforts recently.

Knowledge Graph Embedding

Vehicle Re-Identification Based on Complementary Features

1 code implementation9 May 2020 Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao

Top performance in City-Scale Multi-Camera Vehicle Re-Identification demonstrated the advantage of our methods, and we got 5-th place in the vehicle Re-ID track of AIC2020.

Vehicle Re-Identification

Application of Deep Q-Network in Portfolio Management

no code implementations13 Mar 2020 Ziming Gao, Yuan Gao, Yi Hu, Zhengyong Jiang, Jionglong Su

This paper will introduce a strategy based on the classic Deep Reinforcement Learning algorithm, Deep Q-Network, for portfolio management in stock market.

Face Recognition Management +2

Optimal Delivery with Budget Constraint in E-Commerce Advertising

no code implementations29 Sep 2019 Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Hao Wang

Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals.

Important Attribute Identification in Knowledge Graph

no code implementations12 Oct 2018 Shengjie Sun, Dong Yang, Hongchun Zhang, Yanxu Chen, Chao Wei, Xiaonan Meng, Yi Hu

The knowledge graph(KG) composed of entities with their descriptions and attributes, and relationship between entities, is finding more and more application scenarios in various natural language processing tasks.

Attribute Information Retrieval +2

Dual Based DSP Bidding Strategy and its Application

no code implementations26 May 2017 Huahui Liu, Mingrui Zhu, Xiaonan Meng, Yi Hu, Hao Wang

In recent years, RTB(Real Time Bidding) becomes a popular online advertisement trading method.

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